SPSS Categories® 11.0

38 Chapter 3
Iteration history. For each iteration, the variance accounted for, loss, and increase in
variance accounted for are shown.
Correlations of original variables. Shows the correlation matrix of the original variables
and the eigenvalues of that matrix.
Correlations of transformed variables. Shows the correlation matrix of the transformed
(optimally scaled) variables and the eigenvalues of that matrix.
Variance accounted for. Displays the amount of variance accounted for by centroid coordinates,
vector coordinates, and total (centroid and vector coordinates combined) per
variable and per dimension.
Category Quantifications. Gives the category quantifications and coordinates for each
dimension of the variable(s) selected.
Descriptive Statistics. Displays frequencies, number of missing values, and mode of the
variable(s) selected.
Categorical Principal Components Save
The Save dialog box allows you to add the transformed variables, object scores, and approximations
to the working data file or as new variables in external files and save the
discretized data as new variables in an external data file.
Figure 3.10 Categorical Principal Components Save dialog box
Save. Save selections to the working data file. If any variable has been given the multiple
nominal scaling level, the number of dimensions to be saved must be specified.
Save to External File. Save selections to a new external file. Specify a filename for each
selected option by clicking File. Each file specified must have a different name.